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Record W2164262968

A quantitative study of "friends with benefi ts" relationships

2012· article· en· W2164262968 on OpenAlexvenueaboutno aff
Inga Gusarova, Vanessa Fraser, Kevin G. Alderson

Bibliographic record

VenueThe Canadian Journal of Human Sexuality · 2012
Typearticle
Languageen
FieldPsychology
TopicAttachment and Relationship Dynamics
Canadian institutionsnot available
Fundersnot available
KeywordsOdds ratioOddsContingency tablePsychologyMultinomial logistic regressionDemographySocial psychologyDevelopmental psychologyLogistic regressionMedicineInternal medicineSociology
DOInot available

Abstract

fetched live from OpenAlex

Canadian undergraduates (146 men and 135 women; ages 18-40, M = 20.9, SD = 3.4) described their experiences with friends with benefi ts relationships (FWBRs). Responses were coded and analysed using chi-square contingency tables and multinomial regression analysis. Study results link some of the previously identifi ed advantages and disadvantages of FWBRs to relational outcomes (whether the experience was positive, negative, or neutral; and willingness to enter a FWBR again). Most participants reported positive (38%) or neutral (37%) FWBR experiences, yet 40% indicated they would not enter a FWBR again. D eveloping emotional complications throughout the relationship occurred in 22% of participants, men and women equally, and strongly predicted negative outcomes (odds ratio 9.5, p < 0.001 for negative experience; odds ratio 2.8, p = 0.007 for not wanting a FWBR again). Women were also signifi cantly more likely than men to enter the relationship, hoping it would evolve into dating (p < 0.001), and to express desire to avoid a FWBR in the future (odds ratio 3.3, p < 0.001). Results indicated that other gender differences in FWBRs are nuanced, and both confi rm and depart from the traditional gender norms.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.238
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.149
GPT teacher head0.441
Teacher spread0.292 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations24
Published2012
Admission routes2
Has abstractyes

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